Outcome (probability)

An outcome is one possible result of a random experiment, represented by a single element of its sample space.

Sample space: The set of all possible outcomes of a random experiment. An outcome is one element of this set.
Random variable: A function that assigns a numerical value to each outcome in a sample space. It converts outcomes into values that can be analyzed numerically.
Coin flipping: A random experiment in which a coin lands on one of its faces. Heads and tails are the simplest familiar outcomes.
Outcome space: A set of possible results used to describe a particular experiment or model. It is often used informally where probability theory specifies a sample space.
Event (probability theory): A subset of a sample space, representing a collection of outcomes. Events group outcomes to express probability questions.
Probability mass function: A function giving each value of a discrete random variable its probability. For discrete outcomes, it specifies their probability weights.
Rolling dice: A random experiment in which one or more dice land showing particular faces. A die’s face identifies an outcome in a finite sample space.
Outcome (game theory): A consequence or allocation produced by the choices of participants in a strategic interaction. Game-theoretic outcomes need not be random-experiment results.
Random experiment: A repeatable procedure whose result is uncertain before it is performed. Each outcome records one possible result of such a procedure.
Probability density function: A function whose integral over a region gives the probability of a continuous random variable falling there. Continuous models do not generally assign positive probability to individual outcomes.

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Expected valueRelated: An expected value summarizes possible outcomes rather than identifying one that must occur.